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Time Series Anomaly Detection

Papers

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Showing 1–50 of 264 papers

TitleStatusHype
MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly DetectionCode5
AER: Auto-Encoder with Regression for Time Series Anomaly DetectionCode3
The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection BenchmarkCode3
Large language models can be zero-shot anomaly detectors for time series?Code2
TAB: Unified Benchmarking of Time Series Anomaly Detection MethodsCode2
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly DetectionCode2
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection ModelsCode2
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency PatchingCode2
Anomaly Transformer: Time Series Anomaly Detection with Association DiscrepancyCode2
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency PerspectiveCode2
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly DetectionCode2
LSTM-based Encoder-Decoder for Multi-sensor Anomaly DetectionCode2
European Space Agency Benchmark for Anomaly Detection in Satellite TelemetryCode2
dtaianomaly: A Python library for time series anomaly detectionCode2
PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time SeriesCode2
TadGAN: Time Series Anomaly Detection Using Generative Adversarial NetworksCode2
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly DetectionCode2
Multivariate Time Series Anomaly Detection with Few Positive SamplesCode1
Detecting Multivariate Time Series Anomalies with Zero Known LabelCode1
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological AnalysisCode1
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time SeriesCode1
HYDRA: Competing convolutional kernels for fast and accurate time series classificationCode1
F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain InformationCode1
MAAT: Mamba Adaptive Anomaly Transformer with association discrepancy for time seriesCode1
FedTADBench: Federated Time-Series Anomaly Detection BenchmarkCode1
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open ChallengesCode1
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly DetectionCode1
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment LabelsCode1
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly DetectionCode1
Multivariate Time-series Anomaly Detection via Graph Attention NetworkCode1
Learning Graph Neural Networks for Multivariate Time Series Anomaly DetectionCode1
Deep Learning for Time Series Anomaly Detection: A SurveyCode1
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoTCode1
Entropy Causal Graphs for Multivariate Time Series Anomaly DetectionCode1
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly DetectionCode1
Label-Free Multivariate Time Series Anomaly DetectionCode1
Local Evaluation of Time Series Anomaly Detection AlgorithmsCode1
Can Multimodal LLMs Perform Time Series Anomaly Detection?Code1
Can LLMs Understand Time Series Anomalies?Code1
Anomaly Detection for Time Series Using VAE-LSTM Hybrid ModelCode1
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly DetectionCode1
Deep Contrastive One-Class Time Series Anomaly DetectionCode1
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation SchemeCode1
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density EstimationCode1
Calibrated One-class Classification for Unsupervised Time Series Anomaly DetectionCode1
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly DetectionCode1
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly DetectionCode1
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly DetectionCode1
Explainable Time Series Anomaly Detection using Masked Latent Generative ModelingCode1
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time SeriesCode1
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All datasetsUCR Anomaly ArchiveKPIMSLSMAPSMDSWaTWADIYahoo A1

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TimeVQVAE-ADaccuracy0.71—Unverified
2Matrix Profile STUMPYaccuracy0.51—Unverified
3MDIaccuracy0.47—Unverified
4Matrix Profile SCRIMPaccuracy0.42—Unverified
5RCFaccuracy0.39—Unverified
6IFaccuracy0.38—Unverified
7Convolutional AEaccuracy0.35—Unverified
8SR-CNNaccuracy0.3—Unverified
9USADaccuracy0.28—Unverified
10AEaccuracy0.24—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.68—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.13—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.65—Unverified